What’s new

Indonesia - 1st slice

• 2 lengths
• 2 spots
• Market Incentive

Basic Geography

Subsidies

Fish the nursery line

Boxcar biology

• 100 length bins
• 1D Poseidon
• Can we regenerate data from the length-based assessment?

Data Target

Model

• 10M recruits
• \[ \displaystyle \text{Selectivity}(l)= \frac{q}{1+e^{-\log_{10}(19)\frac{(l-a)}{b}}} \]
• Can our model output the same length-based histograms?

Aphaerus Rutilians

Lutjanus Erythropterus

Indonesia - 2nd slice

• 2 Boxcars Length
• 2 spots
• Market Incentive

Nursery-Movement

Market Incentives

Link assumptions to histograms

Indonesia - 3rd slice

• 2 Boxcars Length
• 2 spots
• Gear Selection \[ \displaystyle \text{Selectivity}(l)= \frac{q}{1+e^{-\log_{10}(19)\frac{(l-a)}{b}}} \]
• Market Incentive

No regulation

Add Policy

Overall Effect

Indonesia - 4th slice

• 2 Ports
• Departure Delays
• Port Switching

Kupang and Benoa

Switching

Switching (zoomed in)

Switching and histograms

Partial Subsidies

Missing Data - Boats

• Simple:
  • Vessel capacity
  • Diesel costs
  • ex vessel prices
  • number per port
• Behavioural
  • Going out rule
  • Going home rule
  • Destination rule
  • Ability to target

Allocating Fish

• Ideal allocation
  • Isolate each trip-landing pair
  • Find fishing events
  • Associate catches with fishing pings
  • Build a Spatial Model
• Pragmatic Allocation
  • Pair fishers with landings
  • Collect all fishing events per fisher
  • Associate average catch per fisher with each of its pings
  • Build Spatial Model

Input

Output

Clustering

Clustering - 2

Data Issues to be resolved

• Pings with no boats associated with them
• Boats with many landings but no pings
• Boats with many fishing pings but no landings associated with them